TL;DR
A hybrid multi-branch CNN-LSTM architecture, termed HyMCL-Net, is proposed, which leverages the complementary strengths of Convolutional Neural Networks (CNNs) for spatial feature extraction and Long Short-Term Memory (LSTM) networks for temporal dependency modeling.
Gestures provide a natural interaction modality for mobile and wearable devices. However, most prior work focuses on macro gestures involving large wrist or arm movements, which are fatiguing and socially conspicuous. In contrast, microgestures, subtle, low-effort finger movements that can be performed one-handed and w...
This work proposes MSCALNet, a Multi-Scale Convolutional Attention LSTM Network, a Multi-Scale Convolutional Attention LSTM Network that employs a multi-branch differential encoding strategy to fuse heterogeneous sensor information, and efficiently models multi-timescale dynamics through a dilated convolutional pyramid...
These results demonstrate the models’ respective strengths in capturing long-range temporal dependencies, bidirectional temporal patterns, and short-term temporal dynamics with cross-channel interactions in complex motion patterns.
This work introduces an experimental paradigm for systematically evaluating the impact of time discrepancies in multi-wearable HAR, and reveals that time offsets larger than 167 ms should be avoided in training datasets, and offsets beyond 333 ms can already significantly degrade HAR performance for typical activities...
Understanding and recognizing human activities from low-cost wearable sensors has attracted increasing attention in recent years. To achieve this goal, numerous learning models and augmentation approaches have been developed. While effective in certain scenarios, their performance is often limited due to the distributi...
Human Activity Recognition (HAR) through wearable sensors greatly improves the quality of human life through its multiple applications. For HAR, multi-sensor channel information is vital for optimal performance. Current work states that applying an attention neural network to prioritize discriminatory sensor channels h...
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